Building topographic subspace model with transfer learning for sparse representation

	Building topographic subspace model with transfer learning for sparse representation
	Liu, Yang 1; Cheng, Jian1 ; Xu, Changsheng1,2 ; Lu, Hanqing1
发表期刊	NEUROCOMPUTING
	2010-06-01
卷号	73 期号:10-12 页码:1662-1668
文章类型	Article
摘要	In this paper, we propose a topographic subspace learning algorithm, named key-coding learning, which utilizes irrelevant unlabeled auxiliary data to facilitate image classification and retrieval tasks. It is worth noticing that we do not need to assume the auxiliary data follows the same class labels or generative distribution as the target training data. Firstly, the subspace model is learnt from enormous scale- and rotation-invariant SURF descriptors extracted from auxiliary and training images, which makes model insensitive to geometric and photometric image transformation. Then the bases of model are pooled by clustering to generate topographic basis banks. We provide insights to show that the topographic model is highly biologically plausible in simulating the complex cells in the visual cortex. Finally we generate the succinct sparse representations by mapping target data into this topographic model. Due to the capability of transferring knowledge, the proposed topographic subspace model can effectively address insufficient training data problem for image classification and is also helpful for generating discriminative features for image retrieval. Intensive experiments are conducted on three image datasets to evaluate the performance of our proposed model, the experimental results are encouraging and promising. (C) 2010 Elsevier B.V. All rights reserved.
关键词	Transfer Learning Topographic Subspace Model Sparse Representation Image Classification Image Retrieval
WOS标题词	Science & Technology ; Technology
关键词[WOS]	NATURAL IMAGES
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000279134100016
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3327
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China 2.China Singapore Inst Digital Media, Singapore, Singapore
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Liu, Yang,Cheng, Jian,Xu, Changsheng,et al. Building topographic subspace model with transfer learning for sparse representation[J]. NEUROCOMPUTING,2010,73(10-12):1662-1668.
APA	Liu, Yang,Cheng, Jian,Xu, Changsheng,&Lu, Hanqing.(2010).Building topographic subspace model with transfer learning for sparse representation.NEUROCOMPUTING,73(10-12),1662-1668.
MLA	Liu, Yang,et al."Building topographic subspace model with transfer learning for sparse representation".NEUROCOMPUTING 73.10-12(2010):1662-1668.